The project aims to develop a web-based dynamic survey platform designed to capture consumer lifestyle preferences and habits. The survey will consist of four sections with approximately 20 questions and will incorporate conditional logic, ensuring that questions adapt based on user responses. If a respondent selects "yes" to a specific question, additional relevant questions will follow, while a "no" response will allow them to proceed to the next section. The survey should be easily accessible via email invitations or be completed directly by operators, ensuring flexibility in data collection.

The system should support data retrieval, reporting, and potential integration with marketing automation tools, making it a scalable and user-friendly solution for consumer engagement.

It is a web-based AI-Edtech platform for micro-learning and skill enhancement, meeting the demand for flexible, scalable learning solutions. The platform enables students to browse and purchase courses with flat fees and time-limited access (60-90 days).

The system ensures streamlined course monetization with paywalls and provides admins control over pricing, categories, and course management. The AI-powered assistant, governed by a token-based model, enhances user engagement while offering premium upsell opportunities for additional support.

This solution is designed to capitalize on the growing EdTech market by offering personalized, AI-driven learning and automated management processes, with opportunities for revenue expansion through certifications, analytics, and corporate training solutions.

This digital platform is designed for radiologists and imaging professionals, offering a secure and streamlined solution to convert faxed imaging request forms into structured digital data. By leveraging advanced AI for data extraction and processing, it simplifies the traditional fax-based workflow, enabling healthcare experts to review, update, and manage imaging protocols with ease. Operating within a fully HIPAA and PIPEDA-compliant environment, the platform addresses the unique challenges of medical imaging management, ensuring efficiency, accuracy, and enhanced patient care throughout the diagnostic process.